Have we found a way to help non-coders understand complex biomedical data structure?
A natural language understanding (NLU) interface to artificial intelligence (AI) is now at everyone’s fingertips – even if ChatGPT, one of the most successful introductions of technology of all time, isn’t the final version of AI every user has easy access to. The problem is how to use it. That, in turn, breaks down into two underlying issues: should we trust the answers these systems offer given the errors to which they are prone, and what is the best way to ask the questions to get the answers we want? Allied to this, the other main challenge in working with generative AI is establishing what value we get from integrating our data sets with it.
Keywords: Generative AI • Life Sciences • pharmaceuticals • Thought Leadership